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Open Source Computer Vision Library
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57 lines
1.7 KiB
57 lines
1.7 KiB
#include "perf_precomp.hpp" |
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#include "opencv2/ts/ocl_perf.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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CV_ENUM(MethodType, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED) |
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typedef std::tr1::tuple<Size, Size, MethodType> ImgSize_TmplSize_Method_t; |
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typedef TestBaseWithParam<ImgSize_TmplSize_Method_t> ImgSize_TmplSize_Method; |
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OCL_PERF_TEST_P(ImgSize_TmplSize_Method, MatchTemplate, |
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::testing::Combine( |
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testing::Values(szSmall128, cv::Size(320, 240), |
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cv::Size(640, 480), cv::Size(800, 600), |
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cv::Size(1024, 768), cv::Size(1280, 1024)), |
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testing::Values(cv::Size(12, 12), cv::Size(28, 9), |
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cv::Size(8, 30), cv::Size(16, 16)), |
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MethodType::all() |
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) |
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) |
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{ |
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Size imgSz = get<0>(GetParam()); |
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Size tmplSz = get<1>(GetParam()); |
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int method = get<2>(GetParam()); |
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UMat img(imgSz, CV_8UC1); |
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UMat tmpl(tmplSz, CV_8UC1); |
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UMat result(imgSz - tmplSz + Size(1,1), CV_32F); |
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declare |
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.in(img, WARMUP_RNG) |
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.in(tmpl, WARMUP_RNG) |
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.out(result) |
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.time(30); |
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OCL_TEST_CYCLE() matchTemplate(img, tmpl, result, method); |
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bool isNormed = |
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method == TM_CCORR_NORMED || |
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method == TM_SQDIFF_NORMED || |
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method == TM_CCOEFF_NORMED; |
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double eps = isNormed ? 3e-2 |
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: 255 * 255 * tmpl.total() * 1e-4; |
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if (isNormed) |
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SANITY_CHECK(result,eps,ERROR_RELATIVE); |
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else |
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SANITY_CHECK(result, eps); |
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} |
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} |
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} |
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#endif // HAVE_OPENCL
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